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Preserve native sample rate, don't auto-resample to 22050 #849

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Preserve native sample rate, don't auto-resample to 22050 #849

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b15e359
Preserve native sample rate, don't auto-resample to 22050
tombagby Apr 15, 2025
871dafd
Merge branch 'mlcommons:main' into main
tombagby May 6, 2025
66a178c
Preserve np.ndarray in casting, do not cast to list.
tombagby May 8, 2025
1a9c09f
Merge branch 'mlcommons:main' into main
tombagby May 8, 2025
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4 changes: 3 additions & 1 deletion python/mlcroissant/mlcroissant/_src/operation_graph/operations/field.py
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Original file line number Diff line number Diff line change
Expand Up @@ -96,12 +96,14 @@ def _cast_value(ctx: Context, value: Any, data_type: type | term.URIRef | None):
else:
raise ValueError(f"Type {type(value)} is not accepted for an image.")
elif data_type == DataType.AUDIO_OBJECT:
output = deps.librosa.load(io.BytesIO(value))
output = deps.librosa.load(io.BytesIO(value), sr=None)
return output
elif data_type == DataType.BOUNDING_BOX: # pytype: disable=wrong-arg-types
return bounding_box.parse(value)
elif not isinstance(data_type, type):
raise ValueError(f"No special case for type {data_type}.")
elif isinstance(value, np.ndarray) and issubclass(data_type, np.generic):
return value.astype(data_type)
elif isinstance(value, list) or isinstance(value, np.ndarray):
return [_cast_value(ctx=ctx, value=v, data_type=data_type) for v in value]
elif data_type == bytes and not isinstance(value, bytes):
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15 changes: 15 additions & 0 deletions python/mlcroissant/mlcroissant/_src/operation_graph/operations/field_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,6 +51,21 @@ def test_cast_value(conforms_to, value, data_type, expected):
assert field._cast_value(ctx, value, data_type) == expected


@parametrize_conforms_to()
@pytest.mark.parametrize(
["value", "data_type", "expected"],
[
[np.array([1, 2, 3]), DataType.INTEGER, np.array([1, 2, 3])],
[np.array([1, 2, 3]), DataType.FLOAT32, np.array([1.0, 2.0, 3.0])],
],
)
def test_cast_value_ndarray():
ctx = Context(conforms_to=conforms_to)
cast_value = field._cast_value(ctx, value, data_type)
assert cast_value == expected
assert cast_value.dtype == expected.dtype


@parametrize_conforms_to()
@pytest.mark.parametrize(
["value", "data_type"],
Expand Down